Arxiv:1909.08593 4-bit Autotrain compatible Base model:nexusflow/starling-... Base model:quantized:nexusflow... Conversational Dataset:berkeley-nest/nectar En Endpoints compatible Finetuned Gptq Has space Mistral Quantized Region:us Reward model Rlaif Rlhf Safetensors
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Starling-LM-7B-beta-GPTQ
Starling LM 7B Beta GPTQ Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Starling LM 7B Beta GPTQ Parameters and Internals
| Model Type |
|
| LLM Name | Starling LM 7B Beta GPTQ |
| Repository 🤗 | https://huggingface.co/MaziyarPanahi/Starling-LM-7B-beta-GPTQ |
| Model Name | Starling-LM-7B-beta-GPTQ |
| Model Creator | Nexusflow |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 4.2 GB |
| Updated | 2024-12-27 |
| Maintainer | MaziyarPanahi |
| Model Type | mistral |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.39.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|end_of_turn|> |
| Vocabulary Size | 32002 |
| Torch Data Type | float16 |
Best Alternatives to Starling LM 7B Beta GPTQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral 7B Instruct V0.2 GPTQ | 32K / 4.2 GB | 502273 | 50 |
| Mistral 7B Instruct V0.3 GPTQ | 32K / 4.2 GB | 17564 | 0 |
| Mistral 7B Instruct V0.1 GPTQ | 32K / 4.2 GB | 104270 | 78 |
| ...ral 7B Instruct V0.3 GPTQ 4bit | 32K / 4.2 GB | 1238 | 16 |
| ...ephyr 7B Beta Channelwise Gptq | 32K / 4 GB | 10549 | 0 |
| ...hyr 7B Beta Channelwise Marlin | 32K / 4 GB | 4635 | 0 |
| Zephyr 7B Beta Marlin | 32K / 4.1 GB | 4880 | 0 |
| ...baraHermes 2.5 Mistral 7B GPTQ | 32K / 4.2 GB | 2461 | 55 |
| ...istral 7B Pruned50 GPTQ Marlin | 32K / 4 GB | 10 | 0 |
| Mistral 7B Unsloth Gptq 8bit | 32K / 7.7 GB | 8 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Starling-LM-7B-beta-GPTQ .
Rank the Starling LM 7B Beta GPTQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227